Digital Signal Processing: Concepts and Applications, covers the basic principles and operation of DSP devices, and gives students the essentials of this mathematics subject in an easily understood and assimilated form. The text concentrates on discrete systems, starting from digital filters and discrete Fourier transforms. These are then extended into adaptive filters and spectrum analysers with the minimum of mathematical derivation, concentrating on demonstrating the performance which is achievable from these processors in communications and radar system applications. This new edition has been updated to include learning outcomes and summaries and provide more examples. The text has been completely redesigned and is presented in a clear and easy-to-read style. Key features: a Self assessment questions within the text, with answers provided, a Numerous practical worked examples on processor design and performance simulation, a MATLAB(r) code for animated simulations available to students via World Wide Web access. This textbook is appropriate for undergraduate and MSc courses in signals and systems and signal processing, and for professional engineers who wish to have a simple reference book on DSP techniques.
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Bernard Mulgrew is Professor of Signals and Systems at the University of Edinburgh and leads the Signals and Systems Research Group. He teaches undergraduate classes in systems theory and signal processing and his research interests are in the application of signal processing techniques to radar and communications systems. Peter Grant is Professor of Electronic Signal Processing at the University of Edinburgh where he is Head of the School of Engineering and Electronics. He teaches digital communications and signal processing and researches in DSP for mobile wireless interface applications. John Thompson is a Lecturer at the University of Edinburgh. He works within the Signals and Systems Research Group, investigating signal processing and antenna array techniques for wireless communications. He teaches undergraduate classes in signal processing and control theory.
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